Code for DCASE 2020 task 1a and task 1b.
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Updated
Jan 20, 2022 - Python
Code for DCASE 2020 task 1a and task 1b.
Implementation of "Weight Averaging Improves Knowledge Distillation under Domain Shift" (ICCV 2023 OOD-CV Workshop)
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
This is an AI-powered advertisement platform that performs Face Detection using Haar Cascade Frontal Face and Wide ResNet to detect your age and gender via an external camera and then show you video advertisements related to the products that suit your corresponding age and gender in real-time.
The experiment of project
A computer vision web-app that uses deep learning and Residual Neural Networks to identify your Pokémon and then tells you all about it.
👣 “恒锐杯”鞋印花纹图像类别判定挑战赛
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
Simple Multi-GPU Implementation of ResNet in Tensorflow
A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos
High Accuracy ResNet Model under 5 Million parameters.
Simple implementation of a residually connected convolutional neural network in PyTorch
An experiment in training a fully connected residual net to learn the argmax function.
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